Director of Generative AI

Global Education Movement at Southern New Hampshire University

Global Education Movement at Southern New Hampshire University

Software Engineering, Data Science
Remote
Posted on Friday, December 22, 2023

We are one growing team with one powerful goal — and as a global leader in education, we strive for a workforce that reflects the individual differences of our learning community. We believe that our employees can be their best selves when they can be their true selves. That is why we’re committed to cultivating and preserving a culture of inclusion in which all our employees feel welcomed, valued and empowered. Together, we will shape the future of education by transforming lives beginning with yours.

Our Workforce Is Expanding Beyond New Hampshire!

We currently offer remote work for those residing in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.

The Opportunity

The Director of Generative AI is a remote position (#LI-Remote) and will help develop foundational LLMs aimed at improving the experience and performance of learners in their journey at SNHU while pushing the boundaries of innovation. The Director of Generative AI will oversee a team of experts in AI and machine learning, to advance our products and services. You will need to possess a combination of technical, project management, and management skills. It is essential to have experience developing AI/ML solutions, and an interest in the latest technologies. You will report to our Vice President of Machine Learning and Data science and need to collaborate with partners of all backgrounds.

In this Role You'll Get To:

  • Lead a team of AI and machine learning experts to deploy AI/ML solutions.
  • Build the generative AI strategy for the entire organization.
    • Includes: use case development, drawing up the deployment architecture with the ITS Engineering team, setting up the best practices for scaling and democratizing these tools, and communicating results/requests with associated partners.
  • Develop and gain support on new ML/AI applications and products.
  • Collaborate with partners regarding product design, data specification, and model implementations. Lay out the requirements and potential challenges associated with product deployment to the ITS DevOps and Engineering team. Update leadership and partners on project/test results, gains, opportunities, and address any questions.
  • Design reproducible ML/AI model development and deployment practices (including coding styles, repo structures, performance monitoring, peer review practices, CI/CD steps) that can be absorbed and followed by other team members.
  • Mentor team members on development best practices/techniques.
  • Manage project timelines/milestones to ensure project deliverables are met.
  • Stay up to date on the latest industry trends and developments in AI/ML technology.
  • Help us create compelling presentations and documents to communicate complex ideas to partners and leadership.
  • Enable collaboration efforts between our team and partners to lead us to common goal achievement and meet organizational objectives.
  • Other responsibilities as assigned. Job duties can change at any time, with or without notice.

What we're Looking For:

  • 8+ years of experience in a quantitative, data-driven business environment working with data science tools, and complex data sets with increasing responsibility; at least 2 years managing people/processes.
  • Master's degree with a concentration in a quantitative discipline (statistics, computer science, mathematics, economics)
  • You will need experience developing nuanced ideas into tangible products. Demonstrated expertise in deploying machine learning models and applications into production environments.
  • Expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series) and non-parametric techniques (GBM, NN, NLP)
  • Substantial prior programming experience in languages such as R, Python, SPARK, and SQL
  • Comfort with professional software development process and GitHub
  • Experience designing rich data visualizations to communicate complex ideas to partners and leadership.
  • Detailed recent NLP experience (basic techniques, large language models, transformers).
  • Experience working with projects from inception to completion

Nice to have:

  • At least 1 year of experience with generative AI solutions (both development and deployment/integration) including training, fine-tuning, and prompt engineering.

Thinking about the job, but not sure you should apply? We still want to hear from you.

We recognize that not everyone enters the world of work with the same advantage, opportunity, and privilege. This is why your skills and experiences are important to us. Take the leap and apply, you just might be the person we are looking for!

Are Benefits Important to You?

We offer exceptional benefits, many available starting on the first day of employment:

Anthem BlueCross affordable, low-deductible Medical Insurance available on day one

Low to no-cost Dental, Vision and Life Insurance options

5 weeks of Paid Time Off that starts accruing on day one & Paid Holidays

A 401(k) Retirement Plan with an annual employer contribution of up to 6%, subject to eligibility and vesting criteria

Tuition Benefits with family offerings

Who Are We?

SNHU employees are a team in every sense. Separately, we understand that each individual brings unique experiences, perspectives and ideas to create a vibrant work environment. Together we share common values of honesty, acceptance and accountability working as a unified force toward a common goal: to transform the lives of learners. By joining our team, you join us in our vision. Together, we’ll shape the future of education by transforming lives—beginning with yours.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

Remote Work Disclaimer

Please note that this is a remote eligible position. At SNHU, we ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace at a fixed location within the United States (in one of the approved states as reflected above) that is free of distractions.

Please note that a background check is required for employment.